- Points
- Vectors
- Rasters
- Workflow
coords = data.frame(x=rnorm(100),y=rnorm(100)) sp = SpatialPoints(coords) str(sp)
## Formal class 'SpatialPoints' [package "sp"] with 3 slots ## ..@ coords : num [1:100, 1:2] -0.739 -0.8968 -0.393 0.0962 -1.7668 ... ## .. ..- attr(*, "dimnames")=List of 2 ## .. .. ..$ : NULL ## .. .. ..$ : chr [1:2] "x" "y" ## ..@ bbox : num [1:2, 1:2] -2.57 -1.83 2.06 2.54 ## .. ..- attr(*, "dimnames")=List of 2 ## .. .. ..$ : chr [1:2] "x" "y" ## .. .. ..$ : chr [1:2] "min" "max" ## ..@ proj4string:Formal class 'CRS' [package "sp"] with 1 slot ## .. .. ..@ projargs: chr NA
za=getData('GADM', country='ZAF', level=1)
plot(za)
za
## class : SpatialPolygonsDataFrame ## features : 9 ## extent : 16.45189, 32.89125, -34.83514, -22.12503 (xmin, xmax, ymin, ymax) ## coord. ref. : +proj=longlat +datum=WGS84 +no_defs +ellps=WGS84 +towgs84=0,0,0 ## variables : 13 ## names : OBJECTID, ID_0, ISO, NAME_0, ID_1, NAME_1, HASC_1, CCN_1, CCA_1, TYPE_1, ENGTYPE_1, NL_NAME_1, VARNAME_1 ## min values : 1, 211, ZAF, South Africa, 1, Eastern Cape, ZA.EC, NA, EC, Provinsie, Province, , Eastern Transvaal ## max values : 9, 211, ZAF, South Africa, 9, Western Cape, ZA.WC, NA, WC, Provinsie, Province, , Wes-Kaap
clim=getData('worldclim', var='bio', res=10)
plot(clim[[1]])
## class : RasterStack ## dimensions : 900, 2160, 1944000, 19 (nrow, ncol, ncell, nlayers) ## resolution : 0.1666667, 0.1666667 (x, y) ## extent : -180, 180, -60, 90 (xmin, xmax, ymin, ymax) ## coord. ref. : +proj=longlat +datum=WGS84 +ellps=WGS84 +towgs84=0,0,0 ## names : bio1, bio2, bio3, bio4, bio5, bio6, bio7, bio8, bio9, bio10, bio11, bio12, bio13, bio14, bio15, ... ## min values : -269, 9, 8, 72, -59, -547, 53, -251, -450, -97, -488, 0, 0, 0, 0, ... ## max values : 314, 211, 95, 22673, 489, 258, 725, 375, 364, 380, 289, 9916, 2088, 652, 261, ...